CN109673020A - A kind of fusion type frequency spectrum detecting method - Google Patents
A kind of fusion type frequency spectrum detecting method Download PDFInfo
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- CN109673020A CN109673020A CN201811358023.4A CN201811358023A CN109673020A CN 109673020 A CN109673020 A CN 109673020A CN 201811358023 A CN201811358023 A CN 201811358023A CN 109673020 A CN109673020 A CN 109673020A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
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- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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Abstract
A kind of fusion type frequency spectrum detecting method, utilize the respective characteristic of single detection method, single detection method in cognitive radio is fused together, carry out idle frequency range detection, the availability of frequency spectrum can be effectively improved, the perception mutual competition of user is reduced, reduces the influence to primary user, guarantee the normal communication for guaranteeing perception user while primary user's normal communication, this result can provide technical support for cognition wireless telecommunication.
Description
Technical field
The invention belongs to cognition wireless technical field of telecommunications more particularly to a kind of fusion type frequency spectrum detecting methods.
Background technique
In recent years, with the fast development of the wireless communication technique characterized by high bandwidth, high mobility and high reliability,
Various wireless broad band technologies emerge one after another.Especially with Wireless LAN (WLAN) technology, wireless personal area network (WPAN)
The high speed development of technology and wireless MAN (WMAN) technology and the third generation and forth generation mobile communication system, all to system
More stringent requirements are proposed for bandwidth of operation【1】, to keep the situation of radio spectrum resources anxiety more serious.
The recycling of non-renewable frequency spectrum resource is realized in the appearance of cognitive radio, for alleviation frequency spectrum resource shortage and increasingly
It opens up a new way between the wireless traffic demand of growth, is known as " next major issue of wireless communication field
Part【2】【3】【4】”。
Energy measuring is proposed for how to detect idle frequency spectrum at present【5】, it is matched filter detection, characteristic value detection, dry
Disturb the detection modes such as temperature detection【6】【7】【8】, but above a variety of detections perceive what detection put forward both for single, will cause inspection
Survey probability is small, and false dismissal probability is big.Therefore cooperative detection is proposed in order to improve the performance of detection, that is, combines the detection knot of multi-user
Fruit makes decisions the presence of idle frequency range, to reduce the interference caused by primary user's system as far as possible, but its detection efficiency compared with
It is low.
Bibliography:
[1] yellow mark cognitive radio and the People's Telecon Publishing House spectrum management [M], 2014.
【2】Urkowitz H. Energy detection of unknown deterministic signals[J].
Proceedings of the IEEE, 2005, 55(4):523-531.
【3】Ma J, Zhao G, Li Y. Soft Combination and Detection for Cooperative
Spectrum Sensing in Cognitive Radio Networks[J]. IEEE Transactions on
Wireless Communications, 2008, 7(11):4502-4507.
【4】Yao Y, Yin C, Song X, et al. Increasing throughput in energy-based
opportunistic spectrum access energy harvesting cognitive radio networks[J].
Journal of Communications & Networks, 2016, 18(3):340-350.
【5】Cardenas-Juarez M, Ghogho M, Pineda-Rico U, et al. Improved semi-blind
spectrum sensing for cognitive radio with locally optimum detection[J]. Iet
Signal Processing, 2016, 10(5):524-531.
【6】Cardenas-Juarez M, Ghogho M, Pineda-Rico U, et al. Improved semi-blind
spectrum sensing for cognitive radio with locally optimum detection[J]. Iet
Signal Processing, 2016, 10(5):524-531.
【7】Ejaz W, Hattab G, Attia T, et al. Joint Quantization and Confidence-
Based Generalized Combining Scheme for Cooperative Spectrum Sensing[J]. IEEE
Systems Journal, 2016, PP(99):1-12.
【8】Wang B, Liu K J R. Advances in cognitive radio networks: A survey[J].
IEEE Journal of Selected Topics in Signal Processing, 2011, 5(1):5-23。
Summary of the invention
In order to solve the problems existing in the prior art, the present invention proposes a kind of fusion type frequency spectrum detecting method, by cognition wireless
Single detection method in electricity is fused together, and can effectively improve the availability of frequency spectrum, while guaranteeing primary user's normal communication
Guarantee the normal communication of perception user.
A kind of fusion type frequency spectrum detecting method is achieved through the following technical solutions, comprising:
Step A: determining whether that there are prior informations, i.e., to the modulation system of frequency range to be detected, impulse waveform, data packet format
Whether any information is known to be determined；
Step B: matched filter detection is carried out to frequency range to be detected using known prior information；
Step C: determine whether that there are noise power information；
Step D: energy measuring is carried out to frequency range to be detected using known noise power information；
Step E: cyclostationary characteristic detection is carried out using the cyclophysis of signal after modulation；
Step F: pass through the detection of method either in B, D, E, the idle frequency range of output detection frequency range.
A kind of fusion type frequency spectrum detecting method utilizes the priori knowledge to spectrum signal according to the demand of cognitive radio
Merging for detection algorithm is carried out with the existence of noise power information, reduces computation complexity, improves detection probability and effect
Rate.
Detailed description of the invention
Attached drawing 1 is flow diagram of the present invention.
Specific embodiment
Specifically describe preferred embodiments of the invention with reference to the accompanying drawing, wherein attached drawing constitutes the application a part.
Fig. 1 is a kind of fusion type frequency spectrum detecting method real-time analysis method flow diagram of the embodiment of the present invention, such as Fig. 1
Shown, the method for the embodiment of the present invention detects frequency spectrum free time frequency range according to the actual demand of cognition wireless telecommunication,
It is handled as follows:
A kind of fusion type frequency spectrum detection analysis method, it is characterised in that: concrete scheme includes:
Step A: frequency range to be detected is determined with the presence or absence of priori knowledge, i.e., the modulation system, pulse to frequency range to be detected
Waveform, data packet format any information whether known determined；
Step B: according to the judgement of A, if known one of prior information, matched filter is carried out to frequency range to be detected
Detection, detailed process is as follows:
Step B1: decision statistics are calculatedAre as follows:
In formulaFor frequency range to be detected,Emit signal for primary user,For hits；
Step B2: being configured decision threshold, and detailed process is as follows:
Step B21: utilizing Neyman-Pearson criterion, completes limitation of the restrictive condition to false-alarm probability value, gives false-alarm probability,
Center chi-square distribution table is looked into, corresponding threshold value is obtained；
Step B3: the decision statistics acquired and preset decision threshold value are compared to judge whether there is idle frequency
Section illustrates that there are primary user's communications for the frequency range acquired if the decision statistics acquired are higher than decision threshold value；If acquired
Decision statistics be lower than decision threshold value, then illustrate frequency range free time, that is, indicate are as follows:
In formulaFor decision threshold value,Indicate that primary user exists,Indicate that primary user is not present；
Step C: whether known to the noise power information of frequency range to be detected to determine；
Step D: according to the judgement of C, if known noise power information therein, carrying out energy measuring to frequency range to be detected,
Detailed process is as follows:
Step D1: decision statistics are calculatedAre as follows:
In formulaFor frequency range to be detected,For hits；
The decision statistics obey chi square distribution, that is, meet
In formula,Indicate the bandwidth product of time domain, it is directly proportional to sampling number N；Indicate the signal-to-noise ratio of reception signal；It indicates
WithIt is for parameter, freedom degreeNon-central chi square distribution；It is that freedom degree isCenter chi square distribution；
Step D2: being configured decision threshold, and detailed process is as follows:
Step D21: utilizing Neyman-Pearson criterion, completes limitation of the restrictive condition to false-alarm probability value, gives false-alarm probability,
Center chi-square distribution table is looked into, corresponding threshold value is obtained；
Step D3: the decision statistics acquired and preset decision threshold value are compared to judge whether there is idle frequency
Section illustrates that there are primary user's communications for the frequency range detected if the decision statistics acquired are higher than decision threshold value；If acquired
Decision statistics be lower than decision threshold value, then illustrate frequency range free time, that is, indicate are as follows:
In formulaFor frequency range to be detected,For decision threshold value,For hits,Indicate that primary user exists,Indicate master
User is not present；
Step E: according to the judgement of A, C, if the prior information and noise power to frequency range to be detected are unknown, to be detected
Frequency range carries out cyclostationary characteristic detection, and detailed process is as follows:
Step E1: the time-varying auto-correlation function of frequency range to be detected is calculatedAre as follows:
In formula, T is observing time；
Step E2: the Cyclic Autocorrelation Function of frequency range to be detected is calculatedAre as follows:
In formula,For cycle frequency；
Step E3: the circulating power spectral density function of frequency range to be detected is calculatedAre as follows:
Step E4: the decision statistics circulating power spectral density function acquired is made comparisons with preset threshold value primary to judge
Family whether there is, if the decision statistics acquired are higher than decision threshold value, illustrate that there are primary user's communications for the frequency range detected；
If the decision statistics acquired are lower than decision threshold value, illustrate the frequency range free time, that is, indicates are as follows:
In formulaIndicate that primary user exists,Indicate that primary user is not present,For preset decision threshold value；
Step E5: being configured decision threshold value, and detailed process is as follows:
Step E51: utilizing Neyman-Pearson criterion, completes limitation of the restrictive condition to false-alarm probability value, gives false-alarm probability,
Center chi-square distribution table is looked into, corresponding threshold value is obtained；
Step F: by B, D, E any one of detection, output detection frequency range idle frequency range.
Claims (1)
1. a kind of fusion type frequency spectrum detection analysis method, it is characterised in that: concrete scheme includes:
Step A: frequency range to be detected is determined with the presence or absence of priori knowledge, i.e., the modulation system, pulse to frequency range to be detected
Waveform, data packet format any information whether known determined；
Step B: according to the judgement of A, if known one of prior information, matched filter is carried out to frequency range to be detected
Detection, detailed process is as follows:
Step B1: decision statistics are calculatedAre as follows:
In formulaFor frequency range to be detected,Emit signal for primary user,For hits；
Step B2: being configured decision threshold, and detailed process is as follows:
Step B21: utilizing Neyman-Pearson criterion, completes limitation of the restrictive condition to false-alarm probability value, gives false-alarm probability,
Center chi-square distribution table is looked into, corresponding threshold value is obtained；
Step B3: the decision statistics acquired and preset decision threshold value are compared to judge whether there is idle frequency
Section illustrates that there are primary user's communications for the frequency range acquired if the decision statistics acquired are higher than decision threshold value；If acquired
Decision statistics be lower than decision threshold value, then illustrate frequency range free time, that is, indicate are as follows:
In formulaFor decision threshold value,Indicate that primary user exists,Indicate that primary user is not present；
Step C: whether known to the noise power information of frequency range to be detected to determine；
Step D: according to the judgement of C, if known noise power information therein, carrying out energy measuring to frequency range to be detected,
Detailed process is as follows:
Step D1: decision statistics are calculatedAre as follows:
In formulaFor frequency range to be detected,For hits；
The decision statistics obey chi square distribution, that is, meet
In formula,Indicate the bandwidth product of time domain, it is directly proportional to sampling number N；Indicate the signal-to-noise ratio of reception signal；It indicates
WithIt is for parameter, freedom degreeNon-central chi square distribution；It is that freedom degree isCenter chi square distribution；
Step D2: being configured decision threshold, and detailed process is as follows:
Step D21: utilizing Neyman-Pearson criterion, completes limitation of the restrictive condition to false-alarm probability value, gives false-alarm probability,
Center chi-square distribution table is looked into, corresponding threshold value is obtained；
Step D3: the decision statistics acquired and preset decision threshold value are compared to judge whether there is idle frequency
Section illustrates that there are primary user's communications for the frequency range detected if the decision statistics acquired are higher than decision threshold value；If acquired
Decision statistics be lower than decision threshold value, then illustrate frequency range free time, that is, indicate are as follows:
In formulaFor frequency range to be detected,For decision threshold value,For hits,Indicate that primary user exists,Indicate master
User is not present；
Step E: according to the judgement of A, C, if the prior information and noise power to frequency range to be detected are unknown, to be detected
Frequency range carries out cyclostationary characteristic detection, and detailed process is as follows:
Step E1: the time-varying auto-correlation function of frequency range to be detected is calculatedAre as follows:
In formula, T is observing time；
Step E2: the Cyclic Autocorrelation Function of frequency range to be detected is calculatedAre as follows:
In formula,For cycle frequency；
Step E3: the circulating power spectral density function of frequency range to be detected is calculatedAre as follows:
Step E4: the decision statistics circulating power spectral density function acquired is made comparisons with preset threshold value primary to judge
Family whether there is, if the decision statistics acquired are higher than decision threshold value, illustrate that there are primary user's communications for the frequency range detected；
If the decision statistics acquired are lower than decision threshold value, illustrate the frequency range free time, that is, indicates are as follows:
In formulaIndicate that primary user exists,Indicate that primary user is not present,For preset decision threshold value；
Step E5: being configured decision threshold value, and detailed process is as follows:
Step E51: utilizing Neyman-Pearson criterion, completes limitation of the restrictive condition to false-alarm probability value, gives false-alarm probability,
Center chi-square distribution table is looked into, corresponding threshold value is obtained；
Step F: by B, D, E any one of detection, output detection frequency range idle frequency range.
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Application publication date: 20190423 |